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有针对性的临床推理矫正计划,面向有需要的住院医师和研究员。

A Targeted Clinical Reasoning Remediation Program for Residents and Fellows in Need.

机构信息

is Associate Professor, Department of Medicine and Public Health Sciences, and Director of Clinical Competency, University of Virginia School of Medicine, Charlottesville, Virginia, USA.

is Assistant Professor, Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.

出版信息

J Grad Med Educ. 2024 Aug;16(4):469-474. doi: 10.4300/JGME-D-23-00822.1. Epub 2024 Aug 15.

Abstract

There is no standardized, widely accepted process for individualized clinical reasoning remediation. We describe a novel, targeted assessment and coaching process that allows for individualized intervention for residents and fellows struggling with clinical reasoning. Residents and fellows at the University of Virginia with performance concerns are referred to COACH (Committee on Achieving Competence Through Help) and assessed by a remediation expert. A subset is referred to a clinical reasoning remediation coach who performs an additional assessment and cocreates an individualized remediation plan. Following remediation, residents and fellows are reassessed by their respective programs. We report the frequency of struggle, remediation time invested, and academic outcomes. From 2017 to 2022, 114 residents and fellows referred to COACH met inclusion criteria, of which 38 (33%) had a deficiency in clinical reasoning. Targeted assessment revealed the following microskill deficits: hypothesis generation (16 of 38, 42%); data gathering (6 of 38, 16%); problem representation (7 of 38, 18%); hypothesis refinement (3 of 38, 8%); and management (6 of 38, 16%). Remediation required a mean of nearly 23 hours per trainee. Of the 38 trainees, 33 (87%) are in good standing at the time of writing. Our unique program offers a feasible, targeted approach to clinical reasoning remediation based on our current understanding of the clinical reasoning process. Early hypothesis generation was the most common microskill deficit identified.

摘要

目前,针对个体的临床推理能力补救,尚无标准化且被广泛认可的流程。我们描述了一种新颖的、有针对性的评估和辅导流程,可为在临床推理方面存在困难的住院医师和研究员提供个体化干预。弗吉尼亚大学那些表现不佳的住院医师和研究员会被推荐给 COACH(通过帮助实现能力提升委员会),并由补救专家进行评估。其中一部分人会被推荐给临床推理补救教练,由后者进行额外的评估并共同制定个体化的补救计划。补救结束后,住院医师和研究员将由各自的项目重新评估。我们报告了困难的频率、投入的补救时间以及学术成果。2017 年至 2022 年,共有 114 名被推荐给 COACH 的住院医师和研究员符合纳入标准,其中 38 名(33%)的临床推理能力存在缺陷。有针对性的评估揭示了以下微观技能缺陷:假设生成(38 人中的 16 人,占 42%);数据收集(38 人中的 6 人,占 16%);问题表述(38 人中的 7 人,占 18%);假设细化(38 人中的 3 人,占 8%);以及管理(38 人中的 6 人,占 16%)。每位受训者平均需要近 23 小时的补救时间。在 38 名受训者中,截至撰写本文时,有 33 人(87%)表现良好。我们的独特项目提供了一种基于我们当前对临床推理过程理解的可行的、有针对性的临床推理补救方法。早期假设生成是最常见的微观技能缺陷。

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